

As a Senior DevOps Engineer you will:
Design, build and manage highly available, scalable and robust services.
Developing and maintaining our logging, monitoring and alerting stacks.
4+ years as DevOps Engineer (or equal role) with a passion for technology and strong motivation and responsibility for high reliability and service level
Proficiency in the cloud (AWS - preferred)
High proficiency with virtualized and containerized environments (Kubernetes and Docker)
Deep understanding in Linux: troubleshooting, designing robust architectures and understanding the internals
Experience with code language (Python & Bash - Advantage)
Experience with configuration management tools such as Terraform, Helm, Ansible, CloudFormation etc.
Experience with OpenStack or Private cloud ecosystem - Advantage
Experience with CI/CD or test automation tools such as GitHub actions, Jenkins etc.
Experience with NoSQL and Database technologies such as Elasticsearch (ELK) stack, Redis, PostgreSQL etc.
Familiarity with message brokers or pub/sub technologies such as RabbitMQ, Kafka AWS SQS
Managing a high-scale production environment
Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities
Familiarity with ML orchestration tools like Kubeflow, Airflow, Bedrock - Advantage
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Responsibilities
Requirements
Preferred Qualifications
משרות נוספות שיכולות לעניין אותך

In this position, you will lead, develop, maintain, boost and automate FortiEDR's platform and infrastructures including our Cloud platforms.
You will be responsible to deliver top tools and technology for our continuous development/deployment practices.
Responsibilities
Build and maintain FortiEDR's platform infrastructure utilizing Terraform, Golang, Python and other scripting languages
Serve as the focal point to support deployment while maintaining system standardization, security, software, and performance
Own and improve FortiEDR build infrastructures, source control, S/W cycle tools, and Continuous Integration/Delivery (including code review)
Responsible for our development environment, S/W licenses, tools’ evaluation, setup, and configuration
Requirements
Proven hands-on experience including ability to design systems end to end.
Experience with configuration management ( e.g. Ansible ) and orchestration ( e.g. terraform )
Hands-on experience with monitoring systems (Prometheus and Grafana).
Experience with Cloud (preferably Google Cloud, but not a must)
Virtualization, and containerization infrastructures (Docker, Kubernetes, GKE )
Proven experience in various environments and platforms (e.g. Linux, Windows, OSX)
Experience with CI/CD frameworks (e.g. GitLab, Jenkins) and bug tracking systems (e.g. JIRA)
Advantages
Flexibility and Versatility – the position requires dealing with a wide range of environments, technologies & programming languages and multiple teams.
Familiarity with Databases (Postgres, MySQL and etc.).
Familiarity with NoSQL (Elasticsearch, Mongo and etc).
משרות נוספות שיכולות לעניין אותך

, you will:
An insightful and influential collaborator to join our team. We encourage you to apply for this position if you have the following qualities:
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As a Senior Data Scientist, you will:
· Research, design, and implement ML-based solutions for cybersecurity applications, such as anomaly detection, behavior modeling, and threat intelligence analysis.
· Lead end-to-end projects, including research, implementation, deployment, and production monitoring.
· Leverage LLMs and other ML techniques, including clustering, classification, and time-series analysis, to develop innovative solutions for cybersecurity challenges.
· Fine-tune and perform prompt tuning to optimize LLMs for tasks like phishing detection, log analysis, and malware categorization.
· Develop scalable pipelines for data preprocessing, training, and deploying ML models in production environments.
· Collaborate with data engineers and software teams to build and maintain infrastructure for data collection, storage, and processing.
· Apply unsupervised and supervised learning techniques to detect emerging threats and patterns in large-scale cybersecurity data.
· Design robust APIs and services to integrate ML and LLM solutions into existing systems.
· Propose and prototype novel ML approaches to improve our products and internal workflows.
· Stay updated on advancements in ML, including LLMs, computer vision, and graph-based models, identifying opportunities to apply them in cybersecurity.
· Provide mentorship and technical guidance to junior data scientists and engineers.
· Work closely with an Incident Response team to improve real-time detection.
· 4+ years of professional experience in ML Engineering (Advantage to GenAI) in an AI company that involves working with researchers.
· Proficiency in Python and ML packages
· Experience with AI/ML (MLOps) and a strong understanding of system architecture - Advantage
· Master's or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Machine Learning, or a related field - Advantage
· Familiarity with vector databases, SQL/NoSQL systems, and API development.
· Strong problem-solving, critical thinking, and communication skills.Why Join Us:
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Role Overview:
,As a QA Engineer – Automation & Manul you will
✔ Review and analyze system requirements and specifications.
✔ Design, develop, and execute automated test scripts to validate software functionality and performance.
✔ Identify, document, and track bugs and defects, ensuring timely resolution.
✔ Troubleshoot and analyze test failures, improving test coverage and stability.
✔ Ensure test coverage across frontend, backend, APIs, and cloud environments.
✅ 2 years of experience in automation testing and/or manual QA.
✅Degree in Computer Science, Engineering, or a related field.
✅ Proficiency in at least one programming language (preferably Python).
✅ Proficiency in at least one Automation framework (preferably Playwright).
✅ Strong understanding of software testing methodologies, tools, and best practices.
✅ Experience with API testing tools (e.g., Postman).
✅ Ability to debug issues and conduct root cause analysis.
Preferred Qualifications ➕ Experience in cloud-based testing (AWS, Azure, or GCP). ➕ Hands-on experience with frontend and backend test automation. ➕ Familiarity with test management tools (e.g., TestRail, Jira). ➕ Exposure to network security, cybersecurity, or enterprise security solutions. ➕ Experience working in an Agile development environment.
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With us you will
Apply if you
What you can expect from us
משרות נוספות שיכולות לעניין אותך

As a Senior DevOps Engineer you will:
Design, build and manage highly available, scalable and robust services.
Developing and maintaining our logging, monitoring and alerting stacks.
4+ years as DevOps Engineer (or equal role) with a passion for technology and strong motivation and responsibility for high reliability and service level
Proficiency in the cloud (AWS - preferred)
High proficiency with virtualized and containerized environments (Kubernetes and Docker)
Deep understanding in Linux: troubleshooting, designing robust architectures and understanding the internals
Experience with code language (Python & Bash - Advantage)
Experience with configuration management tools such as Terraform, Helm, Ansible, CloudFormation etc.
Experience with OpenStack or Private cloud ecosystem - Advantage
Experience with CI/CD or test automation tools such as GitHub actions, Jenkins etc.
Experience with NoSQL and Database technologies such as Elasticsearch (ELK) stack, Redis, PostgreSQL etc.
Familiarity with message brokers or pub/sub technologies such as RabbitMQ, Kafka AWS SQS
Managing a high-scale production environment
Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities
Familiarity with ML orchestration tools like Kubeflow, Airflow, Bedrock - Advantage
משרות נוספות שיכולות לעניין אותך